photonics-dhl
- 197 skills
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- 13 hours ago last updated
- ▌ Pymc · photonics-dhlBayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
- ▌ Qutip · photonics-dhlQuantum physics simulation library for open quantum systems. Use when studying master equations, Lindblad dynamics, decoherence, quantum optics, or cavity QED. Best for physics research, open system dynamics, and educational simulations. NOT for circuit-based quantum computing—use qiskit, cirq, or pennylane for quantum algorithms and hardware execution.
- ▌ Sympy · photonics-dhlUse when you need exact symbolic math in Python — algebra, calculus, equation solving, symbolic linear algebra, or code generation via lambdify/LaTeX. Prefer NumPy or SciPy when floating-point approximations are sufficient.
- ▌ Seaborn · photonics-dhlStatistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.
- ▌ Pymatgen · photonics-dhlMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.
- ▌ Matplotlib · photonics-dhlLow-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.
- ▌ Database Lookup · photonics-dhlSearch 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.
- ▌ Venue Templates · photonics-dhlAccess comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
- ▌ Paper Search 2 · photonics-dhl学术论文搜索技能，集成多个学术数据库进行文献发现。 触发条件： - 用户需要搜索特定论文 - 用户需要查找某领域的代表性文献 - 用户需要按 DOI/标题查找论文 核心能力： - PubMed / ArXiv / Semantic Scholar 联合搜索 - 按标题匹配查找论文 - 获取论文引用和参考文献
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- ▌ Document Skills 2 · photonics-dhl bundle文档处理技能集。用于处理 Word (docx)、PDF、PowerPoint (pptx)、Excel (xlsx) 等办公文档。 当用户需要创建、编辑、分析文档时触发。 包含完整的文档创建规范、样式指南、公式验证等。
- ▌ Optics Learning 2 · photonics-dhl光学学习技能，提供知识树构建、概念可视化和学习进度跟踪。 触发条件： - 用户说"帮我梳理XX知识体系" - 用户说"构建XX的学习路径" - 用户说"我需要学习超表面光学" - 用户询问某个光学概念的前置知识 自动触发：当用户表达学习光学领域知识的需求时。
- ▌ Academic Research 2 · photonics-dhl智能学术研究技能 v2.0 - 数据驱动的可验证文献综述生成 触发条件： - 用户需要文献调研并生成可验证的学术综述 - 用户需要"帮我写一篇关于X的综述" - 用户需要基于真实文献的LaTeX论文 核心工作流： 1. OpenAlex 论文发现（按相关性排序） 2. 多字段关键词分组（PCA/OR/等离子体/超表面等） 3. LaTeX + BibTeX 导出 4. 引用图谱生成 数据保证：所有论文信息（作者/年份/期刊/引用数/DOI）均来自真实API响应， 摘要从 inverted_index 重建，数值可溯源。
- ▌ Diagram Generator 2 · photonics-dhlAdvanced diagram generation skill supporting DrawIO, Mermaid, and Excalidraw formats for creating professional technical diagrams. **Trigger when**: User says "生成图表", "DrawIO", "excalidraw", "专业技术图", "architecture diagram", "系统架构图", "wireframe" **Also trigger when**: User wants: - Professional architecture diagrams - UML diagrams with more detail than Mermaid - Interactive diagrams (Excalidraw) - Technical drawings with precise shapes - Network diagrams - UI wireframes **DO NOT trigger for**: Simple flowcharts (use mermaid), photo-realistic images (use image-generation). Make sure to use this skill when the user needs more sophisticated diagrams than Mermaid can provide, or when they specifically request DrawIO/Excalidraw format.
- ▌ Literature Review 2 · photonics-dhl bundle系统性文献综述撰写。整合 Pautasso (2013) 综述写作规则和 C-C-C 结构原则。当用户需要写文献综述时触发。
- ▌ Scientific Writing 2 · photonics-dhl科研写作工艺——段落/语言层面的写作工具。两阶段写作流程、段落清晰度检查、反向大纲、7条全局原则、段落角色标注、Claim-Evidence映射。当用户需要优化段落质量、改善逻辑流、做语言层面润色时触发。不负责论文结构规划（那是paper-writing）。
- ▌ Domain Intel · photonics-dhl bundlePassive domain reconnaissance using Python stdlib. Subdomain discovery, SSL certificate inspection, WHOIS lookups, DNS records, domain availability checks, and bulk multi-domain analysis. No API keys required.
- ▌ Fine Tuning With Trl · photonics-dhl bundleFine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.
- ▌ Ocr And Documents · photonics-dhl bundleExtract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.
- ▌ Minecraft Modpack Server · photonics-dhlSet up a modded Minecraft server from a CurseForge/Modrinth server pack zip. Covers NeoForge/Forge install, Java version, JVM tuning, firewall, LAN config, backups, and launch scripts.
- ▌ Grpo Rl Training · photonics-dhl bundleExpert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model training
- ▌ Pytorch Lightning · photonics-dhl bundleHigh-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
- ▌ Drug Discovery · photonics-dhl bundlePharmaceutical research assistant for drug discovery workflows. Search bioactive compounds on ChEMBL, calculate drug-likeness (Lipinski Ro5, QED, TPSA, synthetic accessibility), look up drug-drug interactions via OpenFDA, interpret ADMET profiles, and assist with lead optimization. Use for medicinal chemistry questions, molecule property analysis, clinical pharmacology, and open-science drug research.
- ▌ Claude Code · photonics-dhlDelegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.
- ▌ Jupyter Live Kernel · photonics-dhlUse a live Jupyter kernel for stateful, iterative Python execution via hamelnb. Load this skill when the task involves exploration, iteration, or inspecting intermediate results — data science, ML experimentation, API exploration, or building up complex code step-by-step. Uses terminal to run CLI commands against a live Jupyter kernel. No new tools required.
- ▌ Docker Management · photonics-dhlManage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.
- ▌ Fitness Nutrition · photonics-dhl bundleGym workout planner and nutrition tracker. Search 690+ exercises by muscle, equipment, or category via wger. Look up macros and calories for 380,000+ foods via USDA FoodData Central. Compute BMI, TDEE, one-rep max, macro splits, and body fat — pure Python, no pip installs. Built for anyone chasing gains, cutting weight, or just trying to eat better.
- ▌ Songwriting And AI Music · photonics-dhlSongwriting craft, AI music generation prompts (Suno focus), parody/adaptation techniques, phonetic tricks, and lessons learned. These are tools and ideas, not rules. Break any of them when the art calls for it.
- ▌ Writing Plans · photonics-dhlUse when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.
- ▌ Weights And Biases · photonics-dhl bundleTrack ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collaborative MLOps platform
- ▌ Huggingface Tokenizers · photonics-dhl bundleFast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
- ▌ Evaluating Llms Harness · photonics-dhl bundleEvaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.
- ▌ One Three One Rule · photonics-dhlStructured decision-making framework for technical proposals and trade-off analysis. When the user faces a choice between multiple approaches (architecture decisions, tool selection, refactoring strategies, migration paths), this skill produces a 1-3-1 format: one clear problem statement, three distinct options with pros/cons, and one concrete recommendation with definition of done and implementation plan. Use when the user asks for a "1-3-1", says "give me options", or needs help choosing between competing approaches.
- ▌ Systematic Debugging · photonics-dhlUse when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.
- ▌ Dogfood · photonics-dhl bundleSystematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports
- ▌ Findmy · photonics-dhlTrack Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.
- ▌ Mcporter · photonics-dhlUse the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
- ▌ P5js · photonics-dhl bundleProduction pipeline for interactive and generative visual art using p5.js. Creates browser-based sketches, generative art, data visualizations, interactive experiences, 3D scenes, audio-reactive visuals, and motion graphics — exported as HTML, PNG, GIF, MP4, or SVG. Covers: 2D/3D rendering, noise and particle systems, flow fields, shaders (GLSL), pixel manipulation, kinetic typography, WebGL scenes, audio analysis, mouse/keyboard interaction, and headless high-res export. Use when users request: p5.js sketches, creative coding, generative art, interactive visualizations, canvas animations, browser-based visual art, data viz, shader effects, or any p5.js project.
- ▌ Songsee · photonics-dhlGenerate spectrograms and audio feature visualizations (mel, chroma, MFCC, tempogram, etc.) from audio files via CLI. Useful for audio analysis, music production debugging, and visual documentation.
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- ▌ Himalaya · photonics-dhl bundleCLI to manage emails via IMAP/SMTP. Use himalaya to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
- ▌ Native MCP · photonics-dhlBuilt-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Hermes Agent tools. Supports stdio and HTTP transports with automatic reconnection, security filtering, and zero-config tool injection.
- ▌ Arxiv · photonics-dhl bundleSearch and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.
- ▌ Heartmula · photonics-dhlSet up and run HeartMuLa, the open-source music generation model family (Suno-like). Generates full songs from lyrics + tags with multilingual support.
- ▌ Gif Search · photonics-dhlSearch and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.
- ▌ Apple Notes · photonics-dhlManage Apple Notes via the memo CLI on macOS (create, view, search, edit).
- ▌ Modal Serverless Gpu · photonics-dhl bundleServerless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
- ▌ Clip · photonics-dhl bundleOpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
- ▌ LLM Wiki · photonics-dhlKarpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
- ▌ Ascii Art · photonics-dhlGenerate ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.
- ▌ Github Auth · photonics-dhl bundleSet up GitHub authentication for the agent using git (universally available) or the gh CLI. Covers HTTPS tokens, SSH keys, credential helpers, and gh auth — with a detection flow to pick the right method automatically.
- ▌ Openhue · photonics-dhlControl Philips Hue lights, rooms, and scenes via the OpenHue CLI. Turn lights on/off, adjust brightness, color, color temperature, and activate scenes.
- ▌ Inference Sh CLI · photonics-dhl bundleRun 150+ AI apps via inference.sh CLI (infsh) — image generation, video creation, LLMs, search, 3D, social automation. Uses the terminal tool. Triggers: inference.sh, infsh, ai apps, flux, veo, image generation, video generation, seedream, seedance, tavily
- ▌ Excalidraw · photonics-dhl bundleCreate hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.
- ▌ Find Nearby · photonics-dhl bundleFind nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
- ▌ Dspy · photonics-dhl bundleBuild complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
- ▌ Peft Fine Tuning · photonics-dhl bundleParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.
- ▌ Linear · photonics-dhlManage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.
- ▌ Notion · photonics-dhl bundleNotion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.
- ▌ Godmode · photonics-dhl bundleJailbreak API-served LLMs using G0DM0D3 techniques — Parseltongue input obfuscation (33 techniques), GODMODE CLASSIC system prompt templates, ULTRAPLINIAN multi-model racing, encoding escalation, and Hermes-native prefill/system prompt integration. Use when a user wants to bypass safety filters, jailbreak a model, or red-team model robustness.
- ▌ Polymarket · photonics-dhl bundleQuery Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
- ▌ Xitter · photonics-dhlInteract with X/Twitter via the x-cli terminal client using official X API credentials. Use for posting, reading timelines, searching tweets, liking, retweeting, bookmarks, mentions, and user lookups.
- ▌ Fastmcp · photonics-dhl bundleBuild, test, inspect, install, and deploy MCP servers with FastMCP in Python. Use when creating a new MCP server, wrapping an API or database as MCP tools, exposing resources or prompts, or preparing a FastMCP server for Claude Code, Cursor, or HTTP deployment.
- ▌ Faiss · photonics-dhl bundleFacebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications.
- ▌ Llava · photonics-dhl bundleLarge Language and Vision Assistant. Enables visual instruction tuning and image-based conversations. Combines CLIP vision encoder with Vicuna/LLaMA language models. Supports multi-turn image chat, visual question answering, and instruction following. Use for vision-language chatbots or image understanding tasks. Best for conversational image analysis.
- ▌ Simpo Training · photonics-dhl bundleSimple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
- ▌ Slime Rl Training · photonics-dhl bundleProvides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
- ▌ Ascii Video · photonics-dhl bundleProduction pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.
- ▌ Manim Video · photonics-dhl bundleProduction pipeline for mathematical and technical animations using Manim Community Edition. Creates 3Blue1Brown-style explainer videos, algorithm visualizations, equation derivations, architecture diagrams, and data stories. Use when users request: animated explanations, math animations, concept visualizations, algorithm walkthroughs, technical explainers, 3Blue1Brown style videos, or any programmatic animation with geometric/mathematical content.
- ▌ Github Issues · photonics-dhl bundleCreate, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.
- ▌ Gguf Quantization · photonics-dhl bundleGGUF format and llama.cpp quantization for efficient CPU/GPU inference. Use when deploying models on consumer hardware, Apple Silicon, or when needing flexible quantization from 2-8 bit without GPU requirements.
- ▌ Serving Llms Vllm · photonics-dhl bundleServes LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism.
- ▌ Whisper · photonics-dhl bundleOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.
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- ▌ Blogwatcher · photonics-dhlMonitor blogs and RSS/Atom feeds for updates using the blogwatcher-cli tool. Add blogs, scan for new articles, track read status, and filter by category.
- ▌ Chroma · photonics-dhl bundleOpen-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source projects.
- ▌ Qdrant Vector Search · photonics-dhl bundleHigh-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
- ▌ Qmd · photonics-dhlSearch personal knowledge bases, notes, docs, and meeting transcripts locally using qmd — a hybrid retrieval engine with BM25, vector search, and LLM reranking. Supports CLI and MCP integration.
- ▌ Apple Reminders · photonics-dhlManage Apple Reminders via remindctl CLI (list, add, complete, delete).
- ▌ Pokemon Player · photonics-dhlPlay Pokemon games autonomously via headless emulation. Starts a game server, reads structured game state from RAM, makes strategic decisions, and sends button inputs — all from the terminal.
- ▌ Youtube Content · photonics-dhl bundleFetch YouTube video transcripts and transform them into structured content (chapters, summaries, threads, blog posts). Use when the user shares a YouTube URL or video link, asks to summarize a video, requests a transcript, or wants to extract and reformat content from any YouTube video.
- ▌ Huggingface Hub · photonics-dhlHugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.
- ▌ Nano PDF · photonics-dhlEdit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
- ▌ Sparse Autoencoder Training · photonics-dhl bundleProvides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
- ▌ Axolotl · photonics-dhl bundleExpert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
- ▌ Unsloth · photonics-dhl bundleExpert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
- ▌ Pinecone · photonics-dhl bundleManaged vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
- ▌ Audiocraft Audio Generation · photonics-dhl bundlePyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.
- ▌ Powerpoint · photonics-dhl bundleUse this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.
- ▌ Guidance · photonics-dhl bundleControl LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework
- ▌ Outlines · photonics-dhl bundleGuarantee valid JSON/XML/code structure during generation, use Pydantic models for type-safe outputs, support local models (Transformers, vLLM), and maximize inference speed with Outlines - dottxt.ai's structured generation library
- ▌ Huggingface Accelerate · photonics-dhl bundleSimplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
- ▌ Instructor · photonics-dhl bundleExtract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library
- ▌ Distributed LLM Pretraining Torchtitan · photonics-dhl bundleProvides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
- ▌ Github Pr Workflow · photonics-dhl bundleFull pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.
- ▌ Llama Cpp · photonics-dhl bundleRuns LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
- ▌ Plan · photonics-dhlPlan mode for Hermes — inspect context, write a markdown plan into the active workspace's `.hermes/plans/` directory, and do not execute the work.
- ▌ Solana · photonics-dhl bundleQuery Solana blockchain data with USD pricing — wallet balances, token portfolios with values, transaction details, NFTs, whale detection, and live network stats. Uses Solana RPC + CoinGecko. No API key required.
- ▌ Lambda Labs Gpu Cloud · photonics-dhl bundleReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
- ▌ Sherlock · photonics-dhlOSINT username search across 400+ social networks. Hunt down social media accounts by username.